Determination of optimal on-treatment diastolic blood pressure range using automated measurements in subjects with cardiovascular disease-Analysis of a SPRINT trial subpopulation.
Piotr SobierajJacek LewandowskiMaciej SińskiZbigniew GaciongPublished in: Journal of clinical hypertension (Greenwich, Conn.) (2019)
Automated office blood pressure measurement (AOBPM) is recommended for diagnosing hypertension; however, optimal treatment targets using this method are not established. Discrepancies between automated and office measurements of blood pressure have been described, producing uncertainty regarding the use of AOBPM in clinical practice. The Systolic Blood Pressure Intervention Trial (SPRINT) results improved our understanding of target AOBPM systolic blood pressure (SBP) levels; however, diastolic blood pressure (DBP) targets remain unknown. Therefore, we sought to determine the optimal on-treatment DBP range. The analysis was performed on the participants of the SPRINT trial who had hypertension and prior cardiovascular disease. We analyzed the data of 1470 participants (mean age 70.3 ± 9.3 years, 24.1% female) selected from the SPRINT trial database of National Heart, Lung and Blood Institute. The mean achieved SBP and DBP were 127.9 ± 10.7 and 68.3 ± 9.4 mm Hg, respectively. Most of the participants (57.4%) had a DBP lower than 70 mm Hg, while only 11.7% had DPB ≥80 mm Hg. Clinical composite endpoint was defined as myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, stroke, acute decompensated heart failure or death from cardiovascular causes. There were 159 (10.8%) clinical endpoint events. The participants with on-treatment AOBPM DBP range of 68.6-78.6 mm Hg showed the lowest hazard risk of a clinical composite endpoint. These results correspond to the office DBP range of 70-80 mm Hg recommended in ESC guidelines. This is the first attempt to determine the range of optimal DBP values using population-based AOBPM in patients with prior cardiovascular disease.
Keyphrases
- blood pressure
- heart failure
- cardiovascular disease
- hypertensive patients
- heart rate
- left ventricular
- acute coronary syndrome
- clinical trial
- clinical practice
- study protocol
- machine learning
- atrial fibrillation
- type diabetes
- phase ii
- high throughput
- emergency department
- high intensity
- fluorescent probe
- single cell
- hepatitis b virus
- blood glucose
- deep learning
- resistance training
- adipose tissue
- cardiovascular events
- coronary artery disease
- liquid chromatography
- living cells
- extracorporeal membrane oxygenation
- weight loss
- single molecule
- artificial intelligence
- cardiovascular risk factors
- cardiac resynchronization therapy
- subarachnoid hemorrhage